表示数据

测量或生成数据，使用时间表、数值矩阵和数据对象表示数据，将数据导入 App，操作复数值数据

System Identification Toolbox™ 的估计、验证和解析函数接受多种形式的输入/输出估计数据。

您还可以生成自定义信号数据来为试验提供激励信号，也可以通过仿真模型对这些信号的响应来研究估计模型行为。

时间表和 iddata 对象等数据类型还包括一些属性，这些属性包含有关数据的信息，例如采样率、单位，对于 iddata 对象，还包含采样间行为、通道名称和试验标识符。数值矩阵仅包含数据值，并且不提供有关采样率或任何其他数据属性的信息。

只要相关数据集具有相同的采样率和通道选项，您就可以合并它们。具体来说，您可以创建多试验数据集，这些数据集必须共享采样率和通道选项，但可以具有不同持续时间和开始时间。

函数

`timetable`	时间序列数据表，具有带时间戳的行和不同类型的变量
`iddata`	在时域或频域中用于系统辨识的输入-输出数目据及其属性
`idfrd`	Frequency response data or model
`iddata2timetable`	Convert time-domain `iddata` object to `timetable` object (自 R2023a 起)

`idinput`	Generate input signals to support system identification
`sim`	Simulate response of identified model
`simOptions`	Option set for `sim`

`size`	Determine size of `iddata` data set
`midprefs`	Specify location for file containing System Identification app startup information

Iddata Sink	将仿真数据作为 `iddata` 对象导出到 MATLAB 工作区
Iddata Source	Import time-domain data stored in `iddata` object in MATLAB workspace

Representing Data in MATLAB Workspace
Represent time-domain, time-series, and frequency-domain data.

Data Domains and Data Types in System Identification Toolbox
System Identification Toolbox accepts timetables, numeric matrices, and data objects for model estimation in the time and frequency domains.
Use Timetable Data for Time-Domain System Identification
Create and use timetables for model estimation.
Use Matrix-Based Data for Time-Domain System Identification
Use data contained in numeric matrices for time-domain model estimation.
将 SISO 矩阵数据转换为时间表
将基于矩阵的 SISO 估计数据转换为时间表以进行模型辨识。
将 MIMO 矩阵数据转换为时间表以进行连续时间模型估计
通过先将基于矩阵的数据转换为时间表，估计连续时间 MIMO 模型。
Representing Time- and Frequency-Domain Data Using iddata Objects
Using the iddata constructor to represent time-domain and frequency-domain data and working with iddata objects.
Managing iddata Objects
The iddata object stores time-domain data or frequency-domain data and has several properties that specify the time or frequency values.
Representing Frequency-Response Data Using idfrd Objects
Using the idfrd constructor to represent frequency-response data and working with idfrd objects.

Generate Data Using Simulation
Creating input data with specific characteristics and simulating the output data from a model.

Import Time-Domain Data into the App
Import time-domain data into the System Identification app.
Import Frequency-Domain Data into the App
Import frequency-domain input-output data and frequency-response data into the System Identification app.
Import Data Objects into the App
Import iddata and idfrd data objects.
Specifying the Data Sample Time
Specify time between successive data samples.
Managing Data in the App
You can get information about each data set in the System Identification app by right-clicking the corresponding data icon.

Manipulating Complex-Valued Data
Supported operations and limitations for handling complex data and commands for manipulating complex signals.